Remoto: Trabajo híbrido

OverviewPara una comprensión completa de esta oportunidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo.As a Senior AI Scientist within Santander’s DAISci, you lead local AI knowledge base projects, translating global standards into scalable, reliable knowledge representations and graph-based data for AI agents. You’ll collaborate with data, engineering, and product teams to connect structured and unstructured data, shaping schemas and retrieval pipelines for conversational systems. Your work enables global AI initiatives to operate at scale while respecting local constraints. This role offers hands-on scientific leadership with impact across markets and platforms.Compensaciones / Beneficioshybrid work modellearning platforms and SantanderOpen Academycompetitive salary with performance-based bonusesBeHealthy wellness programchildcare supportSantander Contigo advisory servicesResponsabilidadesDesign, develop, and maintain local Knowledge Base instances with connected structured/unstructured dataShape graph schemas, entity resolution, metadata, and retrieval pipelines to support AI agents and conversational systemsEnsure alignment with global standards while adapting to local regulatory, linguistic,



and business constraintsCollaborate with data engineering and product teams to translate architecture into practical local solutionsContribute to evaluation frameworks, monitoring, and continuous improvement of Knowledge Base componentsShare learnings with integral Knowledge Base leadership and propagate reusable patterns across marketsRequisitos principales5–10 years of experience in AI, data science, or ML systems in productionExperience designing and operating scalable, reliable data pipelines or AI systemsExperience collaborating across engineering, product, and business teams to deploy AI-enabled systemsAbility to translate architectural guidance into practical local solutionsStrong individual xqbhyrx contributor with ownership in a distributed, multi-country AI organizationExpertise in knowledge representation, graph modeling, semantic data structures, or information retrievalPractical background in ML and modern AI architectures related to structured knowledge and retrievalStrong Python programming skills and familiarity with data processing and graph technologiescollaboration across cross-functional teamsscientific rigor and methodical approachownership and responsibility as an individual contributorknowledge representationgraph modelingsemantic data structures

📌 Knowledge Base Scientist Senior - CDAIO - Grupo Santander (Boadilla del Monte)
🏢 Jobrapido
📍 Boadilla del Monte